I am currently a Lecturer in Mathematical Data Science at the School of Mathematical Sciences, Queen Mary University of London.
From September 2017-September 2022, I was a research scientist at the Weierstrass Institute for Applied Analysis and Stochastics, in Berlin, Germany, and a member of the group Nonsmooth Variational Problems and Operator Equations. During the period September 2015-August 2017, I was funded through a postdoctoral fellowship awarded by the Alexander von Humboldt Foundation. I spend the first 7 months of the fellowship at the Institute for Mathematics, Humboldt University of Berlin and the rest of the period at the Weierstrass Institute. I moved to Berlin after finishing an EPSRC Doctoral Prize Fellowship at the Department of Applied Mathematics and Theoretical Physics, University of Cambridge (October 2014-March 2015). For the period October 2010-September 2014 I was a PhD student at the Cambridge Centre for Analysis (CCA) at the University of Cambridge and member of the Cambridge Image Analysis (CIA) group. My supervisor was Professor Carola-Bibiane Schönlieb. Full CV: cv.pdf My main research area is mathematical imaging, in the interface of several areas of applied mathematics, like inverse problems, variational methods, calculus of variations, functional analysis, optimisation, optimal control, numerical analysis and deep learning. I have been particularly involved in the design, analysis and application of nonsmooth energy functionals incorporated in variational regularisation methods tailored for image processing. These functionals are at one hand discontinuity-preserving often stemming from their nonsmoothness, that is, they have the ability to preserve sharp edges in the images and on the other hand, they are adaptive to the specific structure of the given data. I am interested in combining these "classical" methods with modern data-driven and deep learning approaches. I have a second research direction which is the result of my long-term involvement in environmental conservation with special focus on marine turtles, see the corresponding section of my website. I consider several applications of animal photo-identification (identification of individual animals via their unique morphological characteristics e.g. patterns/features), and in the same time consider various ways to enhance and automatise this process via modern imaging techniques. I am also looking at mathematical/statistical aspects of citizen science projects related to wildlife conservation. ACADEMIC POSITIONS September 2022-today Lecturer in Mathematical Data Science School of Mathematical Sciences, Queen Mary University of London, UK September 2017-September 2022: Research scientist Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany September 2015-August 2017: Alexander von Humboldt Postdoctoral Fellow April 2016-present: Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany September 2015-March 2016: Institute for Mathematics, Humboldt University of Berlin, Germany October 2014-March 2015: EPSRC Doctoral Prize Fellow Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK EDUCATION October 2010-September 2014: PhD in Mathematics Cambridge Centre for Analysis, University of Cambridge, UK September 2010: M.Sc. in Mathematical Modelling and Scientific Computing University of Oxford, UK December 2009: M.Sc. in Pure Mathematics University of Athens, Greece October 2007: Diploma in Applied Mathematics and Physics, (5 years) National Technical University of Athens, Greece |
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